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Improving Dose-Optimization Processes Used in Oncology Drug Development to Minimize Toxicity and Maximize Benefit to Patients

Journal Article · · Journal of Clinical Oncology
DOI:https://doi.org/10.1200/jco.22.00371· OSTI ID:2425708
 [1];  [2];  [3];  [3];  [1];  [1];  [1];  [3];  [2];  [2];  [3];  [3];  [1];  [4];  [4]
  1. Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
  2. Office of Oncologic Diseases, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
  3. Office of Biostatistics, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
  4. Oncology Center of Excellence, US Food and Drug Administration, Silver Spring, MD

This review highlights strategies to integrate dose optimization into premarketing drug development and discusses the underlying statistical principles. Poor dose optimization can have negative consequences for patients, most commonly because of toxicity, including poor quality of life, reduced effectiveness because of inability of patients to stay on current therapy or receive subsequent therapy because of toxicities, and difficulty in developing combination regimens. We reviewed US Food and Drug Administration initial approvals (2019-2021) of small molecules and antibody-drug conjugates for oncologic indications to determine the proportion with a recommended dosage at the maximum tolerated dose or the maximal administered dose, to characterize the use of randomized evaluations of multiple dosages in dose selection, to describe the frequency of dose modifications at the recommended dosage, and to identify case examples that highlight key principles for premarket dose optimization during drug development. Herein, we highlight major principles for dose optimization and review examples of recent US Food and Drug Administration approvals that illustrate how investigation of dose- and exposure-response relationships and use of randomized dose trials can support dose optimization. Although there has been some progress, dose optimization through randomized dose evaluation in oncology trials is not routinely conducted. Dose optimization is essential to ensure that patients receive therapies which maximize efficacy while minimizing toxicity.

Research Organization:
Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
SC0014664
OSTI ID:
2425708
Journal Information:
Journal of Clinical Oncology, Journal Name: Journal of Clinical Oncology Journal Issue: 30 Vol. 40; ISSN 0732-183X
Publisher:
American Society of Clinical Oncology
Country of Publication:
United States
Language:
English

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